Compa: A Comparative Retrieval and Analytical Engine for Consumer Products

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dc.contributor.advisorGao, Byron J.
dc.contributor.authorSotelo Jimenez, Ramses
dc.contributor.committeeMemberNgu, Anne H.H.
dc.contributor.committeeMemberChen, Xiao
dc.date.accessioned2022-03-30T13:46:02Z
dc.date.available2022-03-30T13:46:02Z
dc.date.issued2022-05
dc.description.abstractOften people need to make comparisons in order to make selections and decisions. Increasingly such comparison activities are conducted online. For example, consumers typically read many reviews and compare various models before an online purchase. Since this comparison-based analytical and decision-making process often involves significant manual effort, it is greatly beneficial if the process can be largely automated and effectively performed by computers. In this thesis, we make an effort to design and implement COMPA, a web-based comparative retrieval and analytical engine in the context of consumer products, which takes two entities as input and returns a comprehensive comparison report to effectively assist decision-making.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent46 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationSotelo Jiménez, R. J. (2022). <i>Compa: A comparative retrieval and analytical engine for consumer products</i> (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/15571
dc.language.isoen
dc.subjectOpinion mining
dc.subjectComparison opinion mining
dc.subjectSentiment analysis
dc.subjectComparative opinion mining
dc.subjectComparative systems
dc.titleCompa: A Comparative Retrieval and Analytical Engine for Consumer Products
dc.typeThesis
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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